قارن الطرق

	مصفوفة الارتباك	النوعية
المجال	تقييم النماذج	تقييم النماذج
العائلة	MCDM	MCDM
سنة النشأة	20th century	20th century
صاحب الطريقة	Statistical foundations	Historical statistical foundations
النوع	Evaluation visualization	Evaluation metric
المصدر التأسيسي	Everitt, B. S., & Hothorn, T. (2005). A Handbook of Statistical Analyses Using R. Chapman and Hall/CRC.	Fawcett, T. (2006). An introduction to ROC analysis. Pattern Recognition Letters, 27(8), 861-874.
الأسماء البديلة	Error Matrix, Contingency Table	True Negative Rate, TNR
ذات صلة	5	5
الملخص	The confusion matrix is a table that displays the counts of true positives, true negatives, false positives, and false negatives. It provides a complete picture of where a classifier makes correct and incorrect predictions, enabling calculation of all other classification metrics.	Specificity measures the proportion of actual negative cases that were correctly identified as negative by the classifier. It answers the question: 'Of all the cases that were truly negative, how many did we correctly reject?' Specificity is complementary to recall and is essential when false positives are costly.